Choosing among the best web scraping tools starts with a simple question: do you want to write code, call an API, or point and click? The web scraping tools on this list cover all three. Some are hosted platforms that run your scrapers in the cloud, some are APIs that return a rendered page or clean JSON from a single request, and a few are desktop or open-source tools you run on your own machines.
This roundup is deliberately broader than our 2025 list of web scraping APIs and tools, which leaned toward API vendors and scraping service firms. Here we compare web scraping software by how teams actually use it in 2026: feeding AI pipelines, monitoring prices and search results, and building datasets at scale. If you are new to the subject, our beginner’s guide to web scraping covers the fundamentals first.
Every entry below was checked against the vendor’s own website in October 2026. Prices change often, so treat the figures as starting points and confirm them on the pricing page before you commit. Whichever tool you pick, scrape responsibly: respect robots.txt and rate limits, prefer official APIs where they exist, and read a site’s terms before collecting its data.
Web Scraping Tools At A Glance
Company
Headquarters
Best For
Standout Trait or Pricing Model
Bright Data
Netanya, Israel and New York, USA
Enterprise data collection at scale
Usage-based APIs, Web Unlocker from $1 per 1,000 requests
Apify
Prague, Czech Republic
Ready-made scrapers plus custom automation
94,000+ Actors, free plan with $5 of monthly usage
Oxylabs
Vilnius, Lithuania
Proxy-backed scraping with a compliance focus
177M+ IPs, consent-based residential sourcing
Zyte
Cork, Ireland
Scrapy teams and pay-per-success pricing
HTTP requests from $0.06 per 1,000 with a commitment
Firecrawl
San Francisco, USA
Turning websites into LLM-ready data
Credit-based, 1,000 free credits a month
ScrapingBee
France
Developers who want one simple scraping API
Plans from $19 a month, 1,000 free credits
ScrapingAnt
Poland
Rendered scraping with no concurrency cap
10,000 free credits a month, plans from $19
Octoparse
Irvine, California, USA
Non-developers who need templates and scheduling
Free plan, paid from $69 a month billed annually
Scrapy
Open-source project
Python developers building custom crawlers
Free under the BSD-3-Clause license
ParseHub
Toronto, Canada
Visual scraping from a desktop app
Free plan with 200 pages per run
Best Web Scraping Tools In 2026
1. Bright Data — The Broadest Web Data Stack For Enterprise Teams
Bright Data sells nearly every layer of the scraping stack under one account. At the bottom sit proxy networks, including a residential network the company puts at more than 400 million IPs, plus ISP and datacenter options. On top of those sit the Web Unlocker API for pages that block simple requests, Web Scraper APIs with prebuilt scrapers for more than 800 websites, a Scraping Browser that works with Puppeteer and Playwright, a SERP API, and ready-made datasets drawn from more than 900 domains.
Pricing is mostly usage-based. On the pricing page we checked, the Web Unlocker, Crawl and SERP APIs started at $1 per 1,000 requests, the Web Scraper APIs at $0.75 per 1,000 records, and residential proxies at a discounted $2.50 per GB. Managed data acquisition, where Bright Data’s own team runs the collection for you, starts at $1,500 a month.
For larger buyers, the compliance paperwork matters as much as the features. Bright Data publishes a Trust Center with ISO and SOC documentation, says it vets every customer before granting access, and sources residential and mobile IPs through its own Bright SDK. That tends to make security reviews and procurement easier than with smaller vendors.
What stands out:
Prebuilt scrapers for 800+ sites and datasets from 900+ domains
A Scraping Browser that plugs into Puppeteer and Playwright code
Customer vetting and published compliance documentation
Best for: enterprises and data teams that want proxies, APIs and datasets from a single vendor.
2. Apify — The Largest Marketplace Of Ready-Made Scrapers
Apify is a cloud platform for running scrapers and browser automations, which it calls Actors. The Apify Store listed more than 94,000 Actors when we checked, covering jobs such as extracting map listings, ecommerce catalogs and search results. If someone has already built a scraper for your target, you can usually run it within minutes and pay only for the compute you use.
Developers can also write and deploy their own Actors, schedule runs, store results in Apify datasets, and pull everything out through the API or integrations. Apify also offers Crawlee, an open-source scraping and crawling library, so code written locally can move to the platform without a rewrite. The Prague-based company, founded in 2015, says it serves more than 91,000 customers.
The free plan includes $5 of prepaid usage each month with no credit card required. Paid plans start at $19 a month plus pay-as-you-go usage, with $199 and $999 tiers above that and custom enterprise contracts at the top.
What stands out:
A huge store of official and community Actors
Built-in scheduling, storage, proxies and API access
Crawlee for local development that deploys to the cloud
Best for: teams that want a ready-made scraper today and room to build custom ones later.
3. Oxylabs — Proxy-Backed Scraping With A Documented Sourcing Policy
Oxylabs, founded in 2015 and headquartered in Vilnius, Lithuania, started as a proxy provider and now sells a full scraping layer on top. Its Web Scraper API offers a Scrape endpoint for structured data from a URL, a Search endpoint for geo-targeted search results, and dedicated scrapers for Amazon and Google. An Agent Browser handles dynamic sites, and an MCP server lets AI agents call Oxylabs directly.
The network behind it is large: Oxylabs cites more than 177 million IPs across 195 locations, spanning residential, mobile, ISP, dedicated ISP and datacenter proxies. Pricing varies by product, with free trials and subscriptions listed on each product page rather than one flat rate.
Where Oxylabs stands apart is how openly it documents sourcing. The company says each residential IP comes from an informed and consenting user who receives value in return, publishes a residential proxy acquisition handbook, and is a founding member of the Ethical Web Data Collection Initiative. It also holds ISO/IEC 27001:2022 certification and SOC 2 Type II coverage for its Scrape endpoint.
What stands out:
177M+ IPs across 195 locations
Dedicated endpoints for search results and major marketplaces
Consent-based residential sourcing and published certifications
Best for: price intelligence, search monitoring and market research teams that need wide geographic coverage.
4. Zyte — Pay-Per-Success Pricing From The Home Of Scrapy
Zyte has worked in web data for more than a decade and is closely tied to Scrapy, the open-source Python framework it supports, whose development happens on the Scrapy GitHub project. Its main product today is Zyte API, which handles proxies, browser rendering and blocking behind one endpoint, with AI parsing that can return structured fields for common page types such as products and articles.
Pricing is the most granular on this list. Zyte sorts websites into five tiers by difficulty and charges per successful response, split between plain HTTP requests and browser-rendered ones. Pay-as-you-go HTTP requests started at $0.13 per 1,000 on the simplest tier, falling to $0.06 per 1,000 with a $500 monthly commitment, while browser-rendered requests started at $1.01 per 1,000. New accounts get $5 of free credit to use within 30 days.
Scrapy Cloud rounds out the offer by hosting, scheduling and monitoring Scrapy spiders, so a team that already writes Scrapy can move to managed infrastructure without switching frameworks. Zyte lists mailing addresses in Cork, Ireland and White Plains, New York, and works as a fully remote company.
What stands out:
Five difficulty tiers so simple sites cost less
Charges only for successful responses
Scrapy Cloud for hosting existing spiders
Best for: Python teams already invested in Scrapy and buyers who want to pay only for successful responses.
5. Firecrawl — Turns Whole Websites Into LLM-Ready Data
Firecrawl was founded in 2022, went through Y Combinator, and is based in San Francisco. It is built for AI applications: point it at a URL and it returns clean Markdown or structured JSON instead of raw HTML. Endpoints cover single-page scraping, full-site crawling, site mapping, web search, and an agent mode that navigates a site to find the data you describe.
Firecrawl is also open source. Its main GitHub repository is licensed under AGPL-3.0, has well over 150,000 stars, and can be self-hosted, while the hosted cloud adds managed infrastructure and higher rate limits. In the hosted version, a scrape, crawl or map costs one credit per page, and asking for JSON output adds four credits per page.
The free tier gives 1,000 credits a month with no card. Paid plans started at $16 a month billed annually, or $19 billed monthly, for 5,000 credits, with Standard at $83 a month for 100,000 credits and larger Growth and Scale tiers above it.
What stands out:
Markdown and JSON output designed for LLMs
Crawl, map, search and agent endpoints in one API
An AGPL-3.0 codebase you can self-host
Best for: AI teams feeding retrieval pipelines, agents and LLM applications.
6. ScrapingBee — A Simple Scraping API With Screenshots And Search Built In
ScrapingBee wraps headless browsers and proxy rotation behind one API call, so a developer sends a URL and gets back the rendered page. It adds features that cover common jobs without extra tooling: JavaScript scenarios for clicking and scrolling, CSS and XPath extraction rules, full-page screenshots, Markdown output, AI data extraction, and a Google search API that returns results as JSON.
Plans are credit-based and published openly. Hobby started at $19 a month for 75,000 credits and 25 concurrent requests, Freelance at $49 for 250,000 credits, and Startup at $99 for 1 million credits, with business and enterprise tiers above. New users get 1,000 free credits without a card. The company labels its product as made in France.
There is little to configure, which is the point. For a developer who needs a dependable endpoint more than a platform, ScrapingBee’s documentation and predictable credit model make it easy to budget and quick to ship.
What stands out:
Screenshots, Markdown and AI extraction from the same endpoint
A Google search API that returns JSON
Transparent credit plans with concurrency stated per tier
Best for: developers and small teams who want a straightforward scraping API.
7. ScrapingAnt — Rendered Scraping With No Concurrency Cap
ScrapingAnt, operated by DATAANT, a company registered in Poland, offers a web scraping API that runs every request in a fresh, isolated headless Chrome instance behind rotating proxies. Its pool covers more than 3 million residential and datacenter IPs in over 100 countries, with country, state and city targeting and sticky sessions. Requests support custom JavaScript snippets, wait-for-selector, and custom cookies and headers.
Two details set it apart from many API rivals. No plan has a concurrency cap, which helps when you need to fan out many rendered requests at once, and failed requests cost nothing, so you pay only for successful scrapes. For AI work, ScrapingAnt can return LLM-ready Markdown, extract JSON from a plain-English prompt without writing selectors, and connect to Claude Code, Cursor and Windsurf through an MCP server.
The free tier is generous at 10,000 API credits every month with no credit card. Paid plans started at $19 a month for 100,000 credits, $49 for 500,000 and $249 for 3 million. Most requests cost between 1 and 25 credits depending on the options used.
What stands out:
Unlimited concurrency on every plan
No charge for failed requests
Prompt-based AI extraction and an MCP server
Best for: developers who need rendered pages at high concurrency and AI-ready output on a modest budget.
8. Octoparse — Point-And-Click Scraping With Templates And Cloud Runs
Octoparse, made by Octopus Data Inc. in Irvine, California, is a visual scraper for people who would rather click than code. You load a page in the desktop app, let auto-detect suggest the fields, and refine the workflow with XPath when you need more control. An AI Assistant can build a reusable scraper from a plain-language description of the data you want, and a library of preset templates covers many popular sites.
The company says more than 4 million users have registered since its 2016 launch. The free plan covers 10 tasks with local runs and up to 50,000 exported rows a month. Standard, from $69 a month billed annually, adds cloud extraction, scheduling, IP rotation, preset templates and API access. Professional, at $249 a month billed annually, raises cloud concurrency to 20 processes and adds exports to Google Sheets, Google Drive, Dropbox and S3.
Octoparse also sells a crawler setup service and a full data service for teams that would rather hand off the work, which makes it a practical bridge between self-serve tools and managed scraping.
What stands out:
Visual workflow builder with auto-detect
An AI Assistant that drafts scrapers from a description
Cloud runs, scheduling and API on paid plans
Best for: analysts and marketing teams who need scheduled scraping without a developer.
9. Scrapy — The Open-Source Framework Behind Countless Crawlers
Scrapy is a fast, high-level crawling and scraping framework for Python, released under the BSD-3-Clause license and developed in the open on GitHub, where it has close to 65,000 stars. It gives you spiders, request scheduling, middleware, item pipelines and feed exports to formats such as JSON and CSV, so the same code can grow from a single page to millions of URLs.
Scrapy costs nothing to use, but you supply the infrastructure, proxies and maintenance. That trade suits engineering teams who want full control over crawl logic, politeness settings such as download delays and AutoThrottle, and where the data ends up. When a project outgrows a laptop, spiders can run on any server or on managed hosting such as Zyte’s Scrapy Cloud.
Because Scrapy works on raw HTTP responses, it pairs best with sites that serve their content in HTML. For pages that build content with JavaScript, teams usually add a browser automation library or route requests through a rendering API.
What stands out:
Free and permissively licensed
Mature ecosystem of extensions and middleware
Built-in throttling and export pipelines
Best for: Python developers building custom, large-scale crawlers.
10. ParseHub — A Free Desktop Scraper For Occasional Projects
ParseHub, headquartered in North York, Toronto, Canada, is a desktop app for Mac, Windows and Linux that lets you build scrapers by clicking on page elements and recording the steps a visitor would take. Projects then run on ParseHub’s servers, and developers can trigger runs and collect results through its REST API and webhooks.
The free plan is a real entry point: 200 pages per run and 5 public projects, with data kept for 14 days. Standard costs $189 a month for 10,000 pages per run, 20 private projects, IP rotation, scheduling and saving images and files to Dropbox or S3. Professional, at $599 a month, removes the page cap, adds 120 private projects and speeds up runs. ParseHub also offers ParseHub Plus, a done-for-you service for teams that would rather receive data than build projects.
What stands out:
Desktop app on all three major operating systems
A free plan that covers small research projects
REST API and webhooks for automation
Best for: researchers and small teams who want a free visual scraper for occasional jobs.
How To Choose Web Scraping Tools
Do You Want To Write Code At All?
Start with who will maintain the scraper. Developers get the most flexibility from frameworks like Scrapy or from APIs such as ScrapingAnt, ScrapingBee and Zyte, which slot into existing code. Analysts and marketers will move faster with visual tools such as Octoparse and ParseHub, or with Apify’s ready-made Actors, where someone else has already done the building.
What Will One Successful Page Really Cost?
Headline prices rarely match real bills. Many APIs charge more credits for JavaScript rendering, premium proxies or AI extraction, and some bill failed requests while others do not. Run a small test on your actual target pages and divide the total cost by the number of usable records. Our comparison of web scraping APIs in 2026 breaks down credit multipliers in more detail.
How Demanding Are Your Target Sites?
Static pages can be fetched with plain HTTP requests at very low cost. Sites that assemble content in the browser need rendering, which is slower and pricier. If most of your targets are single-page applications, shortlist tools built for that job, such as those in our roundup of web scraping APIs for JavaScript-rendered sites.
Where Does The Data Need To Go?
Match the output to its destination. AI and retrieval projects benefit from Markdown or JSON output, which Firecrawl, ScrapingAnt and ScrapingBee all provide. Reporting teams may care more about scheduled exports to Google Sheets or S3, while SEO teams often want search results as structured data. For that last case, see how teams use web scraping for SEO to track rankings and competitors.
Can The Vendor Show How It Operates Responsibly?
Ask how proxy IPs are sourced, how customers are vetted, and which certifications the vendor holds. Bright Data and Oxylabs both publish compliance material, and Oxylabs documents consent-based residential sourcing. Responsibility does not end with the vendor: you remain accountable for honoring site terms, avoiding personal data you have no lawful basis to process, and respecting copyright, especially when collecting content to train AI models.
Conclusion
The top web scraping tools in 2026 split cleanly by how much work you want to own. Bright Data, Oxylabs and Zyte suit companies that need scale, coverage and compliance documentation. Apify sits in the middle with ready-made scrapers and a full platform. Firecrawl, ScrapingAnt and ScrapingBee give developers fast APIs with AI-ready output, while Octoparse, ParseHub and Scrapy cover the no-code and open-source ends of the market.
If you arrived searching for the best web scraping tools 2026 has to offer, the practical next step is a short pilot. Pick two or three candidates that match your skills and targets, use their free tiers on real pages, and compare the cost per usable record. That small test will tell you more than any feature table.
